CVE-2022-35941 is a high-severity vulnerability affecting TensorFlow, an open-source machine learning platform. It stems from a missing input validation in the `AvgPoolOp` function, where a negative `ksize` argument can trigger a program crash due to a `CHECK` failure. This vulnerability has a CVSS score of 7.5, indicating a high impact on availability, as it can be exploited remotely without authentication or user interaction. While there are no known active exploits or publicly available exploit code, and community discussion is minimal, patches are available in TensorFlow 2.10.0 and will be backported to versions 2.9.1, 2.8.1, and 2.7.2.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
>= 2.7.0, < 2.7.2CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
>= 2.8.0, < 2.8.1CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
>= 2.9.0, < 2.9.1CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
2.10CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.10:rc0:*:*:*:*:*:* | ||
2.10CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.10:rc1:*:*:*:*:*:* |
CVSS version used by this source: 3.1
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
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